Develop models, optimizations, and tools for dynamic supply-demand optimization scenarios
Contribute to geospatial visualizations and data-driven storytelling for planning insights
Build and maintain production ML systems in cloud-native, containerized environments
Collaborate with SMEs and stakeholders to understand requirements and validate optimization approaches
Implement and iterate on demand/supply demand/supply modeling strategy and validate feasibility of optimization approaches
Build and maintain APIs that expose ML capabilities to downstream consumers What you'll need
7+ years in ML/optimization roles
Strong background in optimization techniques (linear programming, constraint satisfaction, etc.)
Experience building production ML systems in cloud environments (AWS/GCP)
Experience with ML frameworks (TensorFlow, PyTorch, or equivalent)
Skilled at building geospatial visualizations and telling data-driven stories
Cloud-native containerized application development experience
Proficient in SQL
Comfortable building and maintaining RESTful APIs
Ability to travel up to 10% What will help you on the job
Experience in satellite communications domain
link budgets, orbital mechanics
Production reinforcement learning systems experience
Airflow, Athena, BigQuery
Experience with ECS, Batch, or similar orchestration tools Salary range $140,500.00
$221,500.00 / annually. For specific work locations within San Jose, the San Francisco Bay area and New York City metropolitan area, the base pay range for this role is $174,000.00
$261,000.

00/ annually At Viasat, we consider many factors when it comes to compensation, including the scope of the position as well as your background and experience. Base pay may vary depending on job-related knowledge, skills, and experience. Additional cash or stock incentives may be provided as part of the compensation package, in addition to a range of medical, financial, and/or other benefits, dependent on the position offered. Learn more about Viasat's comprehensive benefit offerings that are focused on your holistic health and wellness at https://careers.viasat.com/benefits. EEO Statement Viasat is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, ancestry, physical or mental disability, medical condition, marital status, genetics, age, or veteran status or any other applicable legally protected status or characteristic. If you would like to request an accommodation on the basis of disability for completing this on-line application, please click here .

Qualifications:

7+ years in ML/optimization roles
Strong background in optimization techniques (linear programming, constraint satisfaction, etc.)
Experience building production ML systems in cloud environments (AWS/GCP)
Experience with ML frameworks (TensorFlow, PyTorch, or equivalent)
Skilled at building geospatial visualizations and telling data-driven stories
Cloud-native containerized application development experience
Proficient in SQL
Comfortable building and maintaining RESTful APIs
Ability to travel up to 10%

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Machine Learning Engineer - Satellite Capacity Optimization & Planning